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Building Credit Risk
Strategy
A NOTE FOR UNINITIATED
monal.aggarwal@gmail.com
Objective & Constraints
 Objective
 An introduction to credit risk strategy building for the uninitiated
 Constraints
 Trade offs between – time & depth, understanding & complexity, brevity
& completeness
 Exclusions
 None intended but refer to objective !
What is Risk Strategy ?
 Think of a game of Football –
 Credit Policy is like the rules of the game e.g you can play only 11
players per team
 Strategy is the way you use those 11 players, the positions you play them
 Strategy aims to optimise achievement of objectives, generally within
the boundary of defined rules of credit policy
 But a good thing is unlike football, credit policy rules can be modified as
an outcome of successful strategy, except for regulatory requirements
 And the strategy can always be tested and modified based on previous
results, just like you may change players or their positions in next game,
hoping even better results
When to Build a Risk Strategy ?
You should build a credit risk strategy to run and manage your lending
portfolio if you have :
o An opportunity to exploit, or
o A problem to resolve
o Opportunities could be increasing revenue while managing risk – Limit
Increases, Cross-sell, Top-ups / Refinance
o Problems could be high losses, non usage – Limit decreases, straight flow
strategy, Inactive card strategy, cash limit reduction
Steps to Build a Risk Strategy
 Define a clear objective that you want the strategy to achieve
 For e.g Increase revenue through Credit Limit Increases [CLI] for cards
 Define the constraints within which you want to build strategy
 In CLI strategy it could be no increase in delinquency, only debit active
cards to be targeted
 Define exclusions :
 Policy or product related – staff cards, relationship based cards
 Operational reasons – invalid phone numbers
Data Analysis
 This is the heart of building a good strategy
 Once objective, constraints and exclusions are defined and agreed
 Segment the portfolio to meet the objective within the defined
constraints
 Segmentation needs a Target variable which will form the base of
splitting / segmenting the portfolio
 In CLI this could be bad rate like Ever 60+ is last 12 months
 In case you have account level profitability, this can become a useful
indicator as well along with Bad rate
 If you don't have good data you can do expert judgement strategy
Strategy Implemenatation
 Strategy ideally needs to implemented on a system to run as
automated process
 But off course multiple limitations like data availability in systems,
systems capability itself, process requirements, regulatory
requirements etc. may impact the complete automation efforts
 Also system data or design limitations may directly impact strategy
design itself for eg if the system doesn't have Bureau data the same
mayn't be used in automated strategy and has to be used as a filter
outside the strategy implementation system, if atall
Results Measurement
 Many a times the Achilles heel of a good strategy is the
measurement and quantification of the strategy outcomes
 Define the measurement and strategy KPI's in strategy design phase
itself
 This ensures the requirements for KPI measurement is known upfront and
efforts can be made to capture / maintain those details post
implementation
 A general technique used is champion / challenger strategy assignment
with or without hold out groups to effectively measure the strategy
outcomes
Thanks!
HOPE THIS HELPED

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201503 Building Credit Risk Strategy

  • 1. Building Credit Risk Strategy A NOTE FOR UNINITIATED monal.aggarwal@gmail.com
  • 2. Objective & Constraints  Objective  An introduction to credit risk strategy building for the uninitiated  Constraints  Trade offs between – time & depth, understanding & complexity, brevity & completeness  Exclusions  None intended but refer to objective !
  • 3. What is Risk Strategy ?  Think of a game of Football –  Credit Policy is like the rules of the game e.g you can play only 11 players per team  Strategy is the way you use those 11 players, the positions you play them  Strategy aims to optimise achievement of objectives, generally within the boundary of defined rules of credit policy  But a good thing is unlike football, credit policy rules can be modified as an outcome of successful strategy, except for regulatory requirements  And the strategy can always be tested and modified based on previous results, just like you may change players or their positions in next game, hoping even better results
  • 4. When to Build a Risk Strategy ? You should build a credit risk strategy to run and manage your lending portfolio if you have : o An opportunity to exploit, or o A problem to resolve o Opportunities could be increasing revenue while managing risk – Limit Increases, Cross-sell, Top-ups / Refinance o Problems could be high losses, non usage – Limit decreases, straight flow strategy, Inactive card strategy, cash limit reduction
  • 5. Steps to Build a Risk Strategy  Define a clear objective that you want the strategy to achieve  For e.g Increase revenue through Credit Limit Increases [CLI] for cards  Define the constraints within which you want to build strategy  In CLI strategy it could be no increase in delinquency, only debit active cards to be targeted  Define exclusions :  Policy or product related – staff cards, relationship based cards  Operational reasons – invalid phone numbers
  • 6. Data Analysis  This is the heart of building a good strategy  Once objective, constraints and exclusions are defined and agreed  Segment the portfolio to meet the objective within the defined constraints  Segmentation needs a Target variable which will form the base of splitting / segmenting the portfolio  In CLI this could be bad rate like Ever 60+ is last 12 months  In case you have account level profitability, this can become a useful indicator as well along with Bad rate  If you don't have good data you can do expert judgement strategy
  • 7. Strategy Implemenatation  Strategy ideally needs to implemented on a system to run as automated process  But off course multiple limitations like data availability in systems, systems capability itself, process requirements, regulatory requirements etc. may impact the complete automation efforts  Also system data or design limitations may directly impact strategy design itself for eg if the system doesn't have Bureau data the same mayn't be used in automated strategy and has to be used as a filter outside the strategy implementation system, if atall
  • 8. Results Measurement  Many a times the Achilles heel of a good strategy is the measurement and quantification of the strategy outcomes  Define the measurement and strategy KPI's in strategy design phase itself  This ensures the requirements for KPI measurement is known upfront and efforts can be made to capture / maintain those details post implementation  A general technique used is champion / challenger strategy assignment with or without hold out groups to effectively measure the strategy outcomes